Table 2 Performance (measured in terms of accuracy) provided by the different VGG variants along with their number of parameters on the SARS-COV-2 dataset.
From: Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans
Model | Accuracy (%) | Number of Parameters (in millions) |
---|---|---|
VGG-11 | 96.38 | 132.86 |
VGG-13 | 96.51 | 133.05 |
VGG-16 | 96.78 | 138.42 |
VGG-19 | 95.17 | 143.67 |